Exciting opportunity for a very experienced project manager to join a well-established Singapore-based construction company specialising in large-scale building and infrastructure projects, with a strong industry track record and a growing project portfolio.

Role:

• Lead and direct the full lifecycle of large-scale building, civil, and infrastructure construction projects (project value S$100 million and above), from pre-construction planning through to completion, handover, and defects liability.
• Take full accountability for project delivery — cost, schedule, quality, safety, and contractual compliance.
• Lead site management teams, subcontractors, and consultants to ensure work meets design specifications, quality benchmarks, and safety standards.
• Act as the primary point of contact for clients, developers, architects, consultants, and regulatory authorities (BCA, URA, SCDF, PUB, LTA, NEA, MOM).
• Drive strong Workplace Safety and Health (WSH) compliance and cultivate a proactive safety culture across all project sites.
• Identify, assess, and mitigate project risks; resolve critical issues and escalate as needed to senior/executive management.
• Oversee contract administration, variation orders, claims management, and dispute resolution.
• Present project status reports, cost forecasts, and progress updates to senior leadership, clients, and stakeholders.

Requirements:

• Bachelor's Degree in Civil/Structural Engineering, Construction Management, or a related discipline.
• Minimum 18 to 20 years of relevant construction experience, including at least 5 years in a senior project management or project director capacity.
• Proven track record delivering large-scale building, infrastructure, or civil engineering projects in Singapore.
• Strong working knowledge of BCA regulations, Singapore building codes, and local construction standards and approval processes.
• Professional certification such as PMP, Professional Engineer (PE), or registration with PEB/BOA is an advantage.
• Excellent leadership, negotiation, contract management, and stakeholder management skills.
• Proficient with project management and scheduling tools: MS Project, Primavera P6, and BIM software.

Interested candidates, please submit your profile together with relevant project experience to submitCV@talentreq.com for review. We will be in touch for initial discussion upon being shortlisted

EA Licence: 17S8795 | EAP: R1108333

Our client is growing their team and looking for a Production Planning Supervisor to take charge of production planning, material planning, and inventory control at manufacturing site. You'll be the key link between Production, Procurement, Sales, Logistics, and our contract manufacturing partners — making sure supply always matches demand and customer orders ship on time.

This is a great fit if you've built your career in production planning, materials planning, or supply chain within a high-mix, low-volume or high-tech manufacturing environment, and you're ready for a role with more ownership.

Role:

• Build and maintain production and material plans based on demand forecasts and available capacity
• Ensure raw materials and finished goods are always ready to keep production running and deliveries on time
• Manage inventory levels and reduce excess & obsolete (E&O) stock
• Spot and resolve E&O risks early, working with the right teams to fix them
• Coordinate across departments to solve supply, capacity, and scheduling issues
• Track and report KPIs — on-time delivery, schedule adherence, inventory accuracy, and risk metrics
• Prepare management reports and presentations for senior leadership
• Drive continuous improvement projects to strengthen planning processes and systems
• Keep planning data accurate and current in the ERP/MRP system
• Jump in on urgent tasks and special projects as needed

Requirements:

• Degree with 8+ years of experience in production planning, materials planning, or supply chain — ideally in a high-mix, low-volume or high-tech manufacturing environment
• Strong background in inventory control, including excess & obsolete (E&O) management
• Experience leading process improvement projects in supply chain or operations
• Skilled with ERP/MRP systems (SAP, Oracle, or similar) and advanced Excel
• Able to build clear, data-driven presentations in PowerPoint
• Strong analytical, organizational, and problem-solving skills
• Great communication and stakeholder management skills
• Comfortable working in a fast-paced, dynamic manufacturing environment

Interested candidates, please submit your profile to submitCV@talentreq.com for review. We will be in touch for initial discussion upon being shortlisted

EA Licence: 17S8795 | EAP: R1108333

Exciting opportunity with a leading regional logistics and supply chain group — building out their next-generation data platform to power AI and analytics at scale.

Role

• Architect and build scalable data pipelines using Apache Spark, Kafka, and Airflow
• Design and manage cloud-based data lakes and warehouses (Snowflake, BigQuery, or Databricks)
• Implement data quality frameworks, governance policies and monitoring
• Collaborate with data scientists and analysts to ensure data is readily available for modelling
• Drive adoption of best practices in data modelling, CI/CD and infrastructure-as-code

Requirements

• 5+ years of data engineering experience with at least 2 years on big data technologies
• Strong command of SQL and Python; experience with dbt, Spark or Flink
• Hands-on cloud experience: AWS, GCP or Azure data services
• Familiarity with streaming data architectures (Kafka, Kinesis)
• Excellent communication skills — ability to work with both technical and business stakeholders

Interested applicants, please submit your profile to submitCV@talentreq.com for review. We will be in touch for initial discussion upon being shortlisted

EA Licence: 17S8795 | EAP: R1108333

Exciting opportunity with a rapidly growing AI-driven healthcare analytics company as an MLOps Engineer who will bridge the gap between data science and production engineering. You'll build and maintain the infrastructure that enables data scientists to ship models faster, more reliably, and at scale — across Singapore and across Asia.

Role

• Build and maintain ML pipelines and CI/CD workflows for model training, evaluation and deployment
• Manage model registries, versioning and experiment tracking (MLflow, Weights & Biases)
• Set up monitoring for model drift, data quality and system performance in production
• Containerise and orchestrate ML workloads using Docker, Kubernetes and cloud-native tools
• Collaborate with data scientists to translate prototypes into maintainable, production-ready systems

Responsibilities

• 3+ years in a DevOps, platform engineering or MLOps role
• Hands-on experience with ML pipeline tooling: Kubeflow, MLflow, Metaflow or similar
• Proficiency in Python and infrastructure-as-code (Terraform, Helm)
• Cloud platform experience: AWS, GCP or Azure — ML services a strong plus
• Solid understanding of the full ML lifecycle from data ingestion to model serving

Interested applicants, please submit your profile to submitCV@talentreq.com for review. We will be in touch for initial discussion upon being shortlisted

EA Licence: 17S8795 | EAP: R1108333